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Explore a dynamic model examining how statistical discrimination perpetuates through feedback loops between firms and job applicants in this 32-minute research talk. Delve into mechanisms that drive long-term discrimination when firms' evaluation abilities are imperfect and improve only for groups they have recently hired from. Discover how initial evaluation ability serves as a critical threshold determining whether a group's hiring rate stabilizes at a positive level or eventually drops to zero, creating persistent disparities even between identical groups. Learn about the mathematical framework that reveals how marginal differences in initial evaluation can compound over time through reinforcing feedback cycles. Examine the effectiveness of different intervention strategies, including why drastic short-term interventions outperform milder long-term approaches in creating sustained improvements. Understand the inherent disadvantages faced by smaller demographic groups, who require higher initial evaluation thresholds and experience lower hiring rates even when achieving favorable outcomes. Gain insights into how this dynamic modeling approach enables assessment of long-term intervention impacts and whether improvements persist after interventions end.
